# -*- coding: utf-8 -*-
from datetime import timedelta
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator

from jms_hi.dm.dm_outport_effect_detail_dt import jms_dm__dm_outport_effect_detail_dt
from airflow.exceptions import AirflowSkipException
import pendulum

cst = pendulum.timezone('Asia/Shanghai')
class HiSparksqlOperator(SparkSqlOperator):
    def pre_execute(self, context):
        day = cst.convert(context['ti'].execution_date) + timedelta(days=1)

        days_of_hours = ['07']

        if day.strftime('%H') not in days_of_hours:
            print(f'{day.strftime("%H")} not in {days_of_hours}, should skip')
            raise AirflowSkipException()
        else:
            print(f'{day.strftime("%H")} in {days_of_hours}, run now')
            super().pre_execute(context)

jms_dm__dm_outport_effect_summary_dt = HiSparksqlOperator(
    task_id='jms_dm__dm_outport_effect_summary_dt',
    task_concurrency=1,
    pool_slots=1,
    master='yarn',
    execution_timeout=timedelta(minutes=30),
    email=['matthew.xiong@jtexpress.com', 'yl_bigdata@yl-scm.com'],
    name='jms_dm__dm_outport_effect_summary_dt_{{ execution_date | date_add(1) | cst_ds }}',
    sql='jms_hi/dm/dm_outport_effect_summary_dt/execute.hql',
    #executor_memory='8G',
    executor_memory='4G',
    #executor_cores=4,
    executor_cores=2,
    #num_executors=5,
    num_executors=3,
    conf={
        'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
        'spark.shuffle.service.enabled' : 'true',  # 动态资源 Shuffle 服务开启
          #'spark.dynamicAllocation.maxExecutors'  : 10,  # 动态资源最大扩容 Executor 数
          'spark.dynamicAllocation.maxExecutors'             : 4,
        'spark.dynamicAllocation.cachedExecutorIdleTimeout': 60,  # 动态资源自动释放闲置 Executor 的超时时间(s)
        'spark.sql.sources.partitionOverwriteMode' : 'dynamic',  # 允许删改已存在的分区
        'spark.executor.memoryOverhead'  : '2G',  # 堆外内存
        'spark.sql.shuffle.partitions'  : 100,
        'spark.default.parallelism'  : 60,
        'spark.sql.auto.repartition' :'true'
    },
    hiveconf={
        'hive.exec.dynamic.partition': 'true',
        'hive.exec.dynamic.partition.mode': 'nonstrict',
        'hive.exec.max.dynamic.partitions.pernode': 200,
        'hive.exec.max.dynamic.partitions': 200
    },
    yarn_queue='pro',
)

jms_dm__dm_outport_effect_summary_dt  << [
    jms_dm__dm_outport_effect_detail_dt
]



